Bibliographic record
Abstract
Industry, especially manufacturing, was one of the key drivers of the transformation in the growth trajectory of the Indian economy witnessed during the post-2000 period. However, a cyclical slowdown began in the industrial sector in 2007-08 and was compounded by the twin global shocks in 2008-09. The effects lingered on briefly in the current fiscal, but growth rebound is now amply evident. Gross domestic product (GDP) growth has clearly revived in the second quarter of the current year and the industrial sector has emerged as one of the prime movers of the process. 9.2 The recovery in the industrial sector is clearly discernible as corroborated by both the data on national accounts and the index of industrial production (IIP). The downward trend observed in the rate of growth of the IIP that spanned almost eight quarters (beginning the first quarter of 2007-08 and continuing through to the last quarter of 2008-09) stands reversed as gleaned from the latest data for the current fiscal. After reaching a trough of 0.6 per cent during the second half of 2008-09, growth in the IIP revived to a level of 7.7 per cent during April-November 2009-10. 9.3 The broad-based nature of the recovery was evident in the pick-up in growth of almost all major components of the IIP (Table 9.1). With the exception CHAPTER 9 Table 9.1: Growth in the IIP and its major components (per cent)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".